Penfield Memory MCP server
online · 100% uptimeio.github.penfieldlabs/penfield-mcp·v1.22.0·6 starsPersistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
6 stars
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Penfield Memory tools
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Public scan report
scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 327ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 177 days ago8/15
- Maintainer identityregistry namespace matches repository owner7/10
How Penfield Memory compares
Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 83/100
- higher than 70% of 3,470 Web search servers
- Uptime
- 100%
- of our recent checks; the typical remote Web search server answers 100%
- Response time
- 204 ms
- faster than 67% of 2,238 Web search servers
- GitHub stars
- 6
- more than 81% of 1,786 Web search servers
Install Penfield Memory in Claude Code, Cursor or VS Code
claude mcp add --transport http penfield-mcp https://mcp.penfield.app/
What the publisher says
From the Penfield Memory repository's README, as published. We do not edit it. Read it on GitHub
Penfield
Persistent memory for AI agents. Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Works with Claude, Cursor, Windsurf, Gemini CLI, and any MCP-compatible tool.
Quick Start
Claude (Desktop, Mobile, Web)
Add as a custom connector in Settings → Connectors:
Name: Penfield
Remote MCP server URL: https://mcp.penfield.appClaude Code
claude mcp add --transport http --scope user penfield https://mcp.penfield.appCursor
One-click install:
Install Penfield in Cursor
Cut and paste into your browser:
cursor://anysphere.cursor-deeplink/mcp/install?name=Penfield&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIm1jcC1yZW1vdGUiLCJodHRwczovL21jcC5wZW5maWVsZC5hcHAvIl19Or add manually to ~/.cursor/mcp.json:
{
"mcpServers": {
"Penfield": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
}
}
}Windsurf, Cline, Roo Code, and Others
Add to your MCP configuration file:
{
"mcpServers": {
"Penfield": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
}
}
}Gemini CLI
gemini mcp add penfield -- npx -y mcp-remote https://mcp.penfield.app/Or add to ~/.gemini/settings.json:
{
"mcpServers": {
"Penfield": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
}
}
}What You Get
17 tools for persistent memory:
Hybrid search combining BM25 (keyword), vector (semantic), and graph (connections) for recall that actually finds what you need.
Cross-platform sync — same memory, same knowledge graph, regardless of which tool you connect from.
How It Works
- Sign up at portal.penfield.app/sign-up
- Connect using one of the methods above
- Authenticate when prompted (OAuth flow)
- Start using — your agent now has persistent memory
Every session should start with:
awaken() # Load identity and personality context
reflect() # Orient on recent work (default: last 7 days)Without these, your agent starts cold with no context.
Documentation
- Tools Reference — All 17 tools with parameters and examples
- Memory Types — The 11 memory types and when to use each
- Relationships — The 24 relationship types for connecting memories
- AI Agent Guide — Instructions for AI agents using Penfield
Use Cases
Personal assistant that remembers
- Your preferences compound over time
- Picks up conversations where you left off
- Learns how you like things done
Development workflows
- Track investigation threads across sessions
- Remember architectural decisions and why they were made
- Hand off context between coding sessions
Research and writing
- Build knowledge graphs of connected ideas
- Store insights and corrections as understanding evolves
- Checkpoint progress on long-running projects
Also Available
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Penfield Memory: common questions
- Is Penfield Memory MCP server safe?
- Mostly: it is graded B (83/100). Read the Penfield Memory safety report
- How do I install Penfield Memory?
- It runs remotely at mcp.penfield.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Penfield Memory need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is Penfield Memory maintained?
- The last commit was 214 days ago (2026-04-04). The latest release is v1.22.0.
- Is Penfield Memory up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Penfield Memory?
- Servers from other publishers that do the same job: Shodh Memory MCP server, Reverie MCP server and Octobrain MCP server.
- How does Penfield Memory compare with other Web search MCP servers?
- safety score 83/100 (higher than 70% of 3,470 Web search servers); uptime 100% (of our recent checks; the typical remote Web search server answers 100%); response time 204 ms (faster than 67% of 2,238 Web search servers). Full comparison.
Alternatives to Penfield Memory
Same job from other publishers: the closest match first, then the best rated.
Shodh MemoryCognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.not reviewedEstablishedC- ReverieGraph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid searchnot reviewedEstablishedB
- OctobrainPersistent memory for AI assistants with semantic search and knowledge graph relationships.not reviewedGrowingA
DocsMintCloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.not reviewedEstablishedA- LinkLocal personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.not reviewedEstablishedA